VUMO: Towards an Ontology of Urban Mobility Events for Supporting Semi-Automatic Visualization Tools

dc.contributor.author Thiago Sobral en
dc.contributor.author Teresa Galvão en
dc.contributor.author José Luís Borges en
dc.date.accessioned 2018-01-16T10:08:55Z
dc.date.available 2018-01-16T10:08:55Z
dc.date.issued 2016 en
dc.description.abstract This paper introduces VUMO, a visualization-oriented ontology that formalizes the knowledge about urban mobility events (e.g. ridership and travel intentions) and visualization techniques. It focuses on serving as a foundation for the development of semi-automatic visualization tools, while also facilitating the process of data integration. The ontology allows techniques to be characterized with human perception factors, so they can be considered when automatically infering recommended techniques for a dataset. The ultimate goal is to benefit transportation decision makers and foster the development of semantically rich visualization techniques. We propose a structured visualization workflow based on VUMO, and apply it to the development of a prototype featuring real data extracted from a journey planner mobile application. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/6247
dc.identifier.uri http://dx.doi.org/10.1109/itsc.2016.7795787 en
dc.language eng en
dc.relation 5991 en
dc.relation 5986 en
dc.relation 6947 en
dc.rights info:eu-repo/semantics/embargoedAccess en
dc.title VUMO: Towards an Ontology of Urban Mobility Events for Supporting Semi-Automatic Visualization Tools en
dc.type conferenceObject en
dc.type Publication en
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